Multi-Modal Emotion Music Recognition (MER): a new dataset, methodology and comparative analysis

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dc.contributor.authorReis, Francisco
dc.contributor.authorMalheiro, Ricardo
dc.date.accessioned2013-12-26T00:41:22Z
dc.date.available2013-12-26T00:41:22Z
dc.date.issued2011-03
dc.description.abstractThere are currently two major trends in what higher education learning is concerned. The first is to respond to an increasingly mobile student population including those that are already working and need to improve their skills. The second is to model new pedagogical theories and practices that can contribute to better learning outcomes. Both try to adapt to a more distributed knowledge vision and to take advantage of how collaborative tools are shaping our work and lives in general. Instead of developing new theories, the Umniversity platform was developed so as to evaluate existing ones. Developed tools were motivated by current thinking about the future of learning and hopefully they will contribute to enable innovative practices helping shape future thinking. Four integration vectors are presented to accomplish this.pt_PT
dc.identifier.citationReis, F. e Malheiro, R., “Umniversity Platform - Four Integration Vectors Towards Mobile Learning”, IADIS International Conference for Mobile Learning, Ávila, Spain, Março de 2011pt_PT
dc.identifier.urihttp://dspace.ismt.pt/xmlui/handle/123456789/329
dc.language.isootherpt_PT
dc.peerreviewedyespt_PT
dc.publisherIADISpt_PT
dc.rightsopenAccesspt_PT
dc.subjectMóvel - Mobilept_PT
dc.subjectAprendizagem - Learningpt_PT
dc.subjectConectivismo - Connectivismpt_PT
dc.subjectMundo virtual - Virtual worldpt_PT
dc.subjectAutonomia - Autonomypt_PT
dc.titleMulti-Modal Emotion Music Recognition (MER): a new dataset, methodology and comparative analysispt_PT
dc.typeconferenceObjectpt_PT
degois.publication.locationÁvila, Spainpt_PT
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